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Geospatial Data Engineer Remote Jobs in Zelienople, PA

IIoT Engineer (Remote)

Pittsburgh, PA ยท Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... We are experts in manufacturing data architectures and MES solutions. In our solutions we use open ...

Senior Data Engineer

Pittsburgh, PA ยท On-site +1

$102K - $139K/yr

Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Working with geospatial data. * Working with simulation or machine learning models. * Demonstrate ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

... Remote. This role may require up to 50% travel. Scope of Responsibilities * Develop AI/ML/DS ... Work closely with partner teams, including AI research, data engineering, and software development ...

... Remote. This role may require up to 50% travel. Scope of Responsibilities * Develop AI/ML/DS ... Work closely with partner teams, including AI research, data engineering, and software development ...

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Geospatial Data Engineer Remote information

See Zelienople, PA salary details

$40.7K

$118.6K

$162.3K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 20, 2026, the average yearly pay for geospatial data engineer remote in Zelienople, PA is $118,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $125,700.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What job categories do people searching Geospatial Data Engineer Remote jobs in Zelienople, PA look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Zelienople, PA are:

What cities near Zelienople, PA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Zelienople, PA with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Zelienople, PA as of August 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,619 per year, or $57 per hour.

Data Engineer - Healthcare

Texas State Library and Archives Commision

Pittsburgh, PA โ€ข On-site, Remote

$108K - $130K/yr

Full-time

Re-posted 18 days ago


Job description

Senior Data Engineer - Healthcare (Remote | EST Preferred)
Salary: US Citizens Only
Seeking a Senior Data Engineer (5-8 yrs) with strong healthcare domain experience to help build and own a growing data platform at a healthcare tech startup.
Must Have:
  • Healthcare data experience (FHIR, HL7, EMR/EHR)
  • Compliance knowledge (HIPAA, SOC 2; HITRUST preferred)
  • Strong Python and AWS experience
  • Ability to take technical ownership in a fast-paced startup